QA Engineer

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Bonapolia

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Bonapolia is a recruitment and talent-matching firm focused on connecting candidates with technology and engineering roles through a candidate-centric, client-partner approach. The company operates a global, largely remote job marketplace and offers career counseling, interview coordination, and relocation support (notably to Portugal) while building long-term relationships with clients to deliver hired talent efficiently. Bonapolia emphasizes scalable boutique recruitment services, training support for employees, and a streamlined application/connect process for job seekers.

📋 Description

• Support ongoing quality assurance across data-intensive web applications and microservice-based platforms • Work with both UI and API testing frameworks across multiple stacks • Maintain existing test suites and contribute to automation initiatives • Test functional, regression, smoke, and UAT scenarios • Design edge-case and negative test scenarios • Validate AI-generated outputs and AI-powered functionality • Assess AI functionality for accuracy, consistency, reliability, usability, and business relevance • Analyze defects, quality metrics, test artifacts, and Allure reports • Collaborate within agile teams and align testing strategies with business goals and data-driven workflows

🎯 Requirements

• Minimum 3 years of QA experience in enterprise or SaaS environments • Minimum 1 year of experience with AI-enabled products • Strong knowledge of testing methodologies, defect management, and quality metrics • Experience designing edge-case and negative test scenarios • Experience with functional, regression, smoke, and UAT testing • Experience with Git and GitHub workflows • Understanding of CI/CD concepts • API testing experience using Postman or curl • Experience with Docker • Experience managing Alpha, Beta, and Production environments • Experience with Allure reporting and test artifact analysis • Strong analytical, documentation, and problem-solving skills • Experience validating AI-generated outputs and AI-powered functionality • Ability to assess AI functionality for accuracy, consistency, reliability, usability, and business relevance • Knowledge of Generative AI, LLMs, AI copilots, and AI-assisted workflows • Experience testing AI-powered product features • Experience using AI productivity tools • Understanding of prompt design, prompt testing, and AI output validation • Awareness of AI risks including hallucinations, bias, prompt sensitivity, and inconsistent responses • Strong communication and collaboration skills within agile teams • English: upper-intermediate • Prior experience on financial, analytics, or data-heavy SaaS products is nice to have • Basic SQL, Excel, and PDF-based result verification are nice to have